Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
[読み会]Learning to Explain: An Information-Theore...
Search
mei28
September 29, 2020
0
48
[読み会]Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
読み会資料.
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation (ICML2018)
mei28
September 29, 2020
Tweet
Share
More Decks by mei28
See All by mei28
[読み会] “Are You Really Sure?” Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making
mei28
0
82
[JSAI'24] 人間の判断根拠は文脈によって異なるのか?〜信頼されるXAIに向けた人間の判断根拠理解〜
mei28
1
490
[CHI'24] Fair Machine Guidance to Enhance Fair Decision Making in Biased People
mei28
0
55
[DEIM2024] 卓球の得点予測における重要要素の分析
mei28
0
37
[Human-AI Decision Making勉強会] 意思決定 with AIは個人vsグループで変わるの?
mei28
0
190
[読み会] Words are All You Need? Language as an Approximation for Human Similality Judgements
mei28
0
36
[参加報告] AAAI'23
mei28
0
88
[計算機構論] Learning Models of Individual Behavior in Chess
mei28
0
70
[計算機構論] Why do tree-based models still outperform deep learning on tabular data?
mei28
0
54
Featured
See All Featured
Art, The Web, and Tiny UX
lynnandtonic
298
20k
Side Projects
sachag
452
42k
The Illustrated Children's Guide to Kubernetes
chrisshort
48
49k
Navigating Team Friction
lara
183
15k
Why Our Code Smells
bkeepers
PRO
336
57k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
356
29k
The Cult of Friendly URLs
andyhume
78
6.2k
Done Done
chrislema
182
16k
Designing Experiences People Love
moore
140
23k
Principles of Awesome APIs and How to Build Them.
keavy
126
17k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
640
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.3k
Transcript
-FBSOJOHUP&YQMBJO"O*OGPSNBUJPO 5IFPSFUJD1FSTQFDUJWFPO.PEFM *OUFSQSFUBUJPO ಡΈձˏ ༶໌
wஶऀ w+JBOCP$IFO 6$#FSLFMFZ "OU'JOBODJBMͷΠϯλʔϯ w-F4POH (FPSHJB*OTUJUVUFPG5FDIOPMPHZ "OU'JOBODJBM
w.BSUJO+8BJOXSJHIU 6OJWFSTJUZPG$BMJGPSOJB 5IF7PMFPO(SPVQ w.JDIBFM*+PSEBO 6OJWFSTJUZPG$BMJGPSOJB wग़య*$.- จใ
wϞσϧ͕ʮஅ ग़ྗ ͷࠜڌͱͳͬͨಛʯΛઆ໌͢ΔΑ͏ͳઆ໌ϞσϧΛֶश ͢Δํ๏ΛఏҊ͍ͯ͠Δɽ wैདྷͷઆ໌ϞσϧͱҧͬͯɼҰઆ໌ϞσϧͷֶशΛߦ͑આ໌ͷੜΛຖճܭ ࢉ͠ͳ͍͍ͯ͘ͷͰඇৗʹߴɽ wબΜͩཧ༝ wࣗͷݚڀʹઆ໌Մೳ"*ΛऔΓೖΕ͍ͨͱࢥͬͨͨΊɽ w
࠷ۙϗοτͰ͋Δ͔Β ֓ཁ ͲΜͳจ
wϥϯμϜϑΥϨετ Χʔωϧ๏ɼσΟʔϓχϡʔϥϧωοτϫʔΫͳͲෳࡶͳϞ σϧ͕ఏҊ͞ΕɼͦΕΒʹΑͬͯ༧ଌਫ਼͕ߴ·͍ͬͯΔɽ w͔͠͠ɼෳࡶͳϞσϧʹΑΔग़ྗ݁ՌΛਓ͕ؒղऍ͢Δͷࠔʹͳ͍ͬͯ Δɽ wຊจͰ༧ଌʹॏཁͳಛྔΛݟ͚ͭΔ͜ͱͰɼϞσϧͷղऍੑΛߴΊΑ͏ͱ ͍ͯ͠Δɽ ֓ཁ ݚڀഎܠ
ೖྗͷϕΫτϧʹؔͯ͠ɼਖ਼ղͷग़ྗͷޯΛٻΊΔɽٻΊͨޯΛ͍ɼೖྗ ʹϚεΫͯ͠આ໌ͱ͢Δɽ આ໌͍ͨ͠αϯϓϧͷपลͰہॴతʹ؆୯ͳࣝผϞσϧΛ࡞ΓɼͦΕΛͬͯઆ ໌Λߦ͏ɽ w -*.&%FFQ-*'5 LFSOFM4)"1ͳͲ͕͋Δɽ
֓ཁ طଘݚڀʹ͍ͭͯ
wہॴతͳઆ໌ϞσϧΛશମతʹֶश͠ɼೖྗͷߟྀʹೖΕΒΕΔɽ wہॴతͳઆ໌ϞσϧΛՃ͠ͳͯ͘ྑ͍ɽ ֓ཁ طଘݚڀͱͷҧ͍
ߩݙ࣍ͷΑ͏ʹͳΔ w ใྔΛͱʹͯ͠ɼΠϯελϯε͝ͱͷಛબ͕Ͱ͖ΔϑϨʔϜϫʔΫΛఏҊ ͨ͠ɽ w ϞσϧʹґଘͤͣޮͷΑ͍ɼಛબͷΞϧΰϦζϜΛఏҊͨ͠ɽ w ఏҊͨ͠ΞϧΰϦζϜ͕ਓσʔλͱϦΞϧσʔλͰޮՌ͕͋Δ͜ͱΛ࣮ݧͨ͠ɽ ֓ཁ
ߩݙ
wఏҊख๏ͰɼϞσϧʹґଘ͠ͳ͍ͨΊճؼɼྨϞσϧͷͲͪΒʹదԠͰ͖Δɽ ʢࠓճྨϞσϧͰߟ͑Δʣ wલఏͱͯ͠ɼϞσϧͷग़ྗΛ͖݅֬ ɼઆ໌ม ֬ม ͱ͢Δɽ w͜͜Ͱɼ૬ޓใྔΛΠϯελϯε͝ͱͷಛબͷࢦඪͱͯ͠͏ɽ
આ໌มͱબ͞Εͨಛྔͷ૬ޓใྔ͕࠷େͱͳΔ͜ͱ͕ࠓճͷඪɽ ℙm ( ⋅ ∣ x) Y X = x ∈ ℝd I(X; Y) = X,Y [log pXY (X, Y) pX (X)pY (Y) ] ϑϨʔϜϫʔΫ
w पล͔Βग़ͯ͘Δɽ w ͖݅ ͔Βग़ͯ͘Δɽ w αΠζ͕ Ͱ͋Δ͖ू߹ɽಛબʹ͏ɽ
w ϋΠύʔύϥϝʔλ w ͔Β͖ू߹ʹϚοϐϯά͢Δઆ໌Ϟσϧɽ w ͰબΕͨ෦ू߹ɼ͜ΕʹΑͬͯબ͞Εͨಛͷ֬ ม ΛಘΔɽ X X ∼ ℙX ( ⋅ ) Y (Y ∣ x) ∼ ℙm ( ⋅ ∣ x) ℘k = {S ⊂ 2d ||S ∣ = k} k k ℰ ℝd S S = ℰ(x) xs ϑϨʔϜϫʔΫ ઃఆ
w৽͍֬͠ϕΫτϧ Λ༻͍Δͱࠓճͷత࣍ࣜΛ࠷దԽ͢Δ͜ͱʹͳ Δɽ w૬ޓใྔΛ࠷େʹ͢ΔΑ͏ͳɼಛͷ෦ۭ͕ؒࣝผϞσϧͰॏཁͳಛͰ͋ Δͱઆ໌͢Δ͜ͱ͕Ͱ͖Δɽ Xs ∈ Rk
ϑϨʔϜϫʔΫ తؔ
wతؔΛղ͘͜ͱ͕ࠔͰ͋Δ͔ΒɼมۙࣅΛ༻͍ͯղ͘ɽ w૬ޓใྔͷԼքΛ࠷େԽ͢Δ͜ͱΛඪʹͳΔɽ ఏҊख๏
w ҰൠతͳϞσϧͰɼ͖݅ͷԼքͷظΛܭࢉ͢Δ͜ͱ͕ࠔͰ͋Δͨ Ίɼ࣍ͷΑ͏ͳมΛఆٛ͢Δɽ w w +FOTFOͷෆࣜʹΑΓɼԼք͕࣍ͷΑ͏ʹมߋ͞ΕΔɽ w
:= {ℚ ∣ ℚ = {xS → ℚS (Y ∣ xS), S ∈ ℘k}} ఏҊख๏ มԼք
w Λ༻͍Δͱɼࠓճͷඪ͕࣍ͷΑ͏ʹมΘΔɽ w wҰൠతͳ ͷ߹ɼࣜ Λղ͘ͷ͍·ͩʹࠔͰ͋Δɽͦ͜Ͱ࠷దԽՄೳͳ ํ๏ʹม͑Δඞཁ͕͋Δɽ
ℰ, ఏҊख๏ ࠷దԽ
w ΛύϥϝʔλԽ͢ΔͨΊʹɼχϡʔϥϧωοτϫʔΫΛఆٛ͢Δɽ w wࠓճఆٛͨ͠ Λ༻͍ͯɼ ͱ͢Δɽ gα
: ℝd × [c] → [0,1] where[c] = 0,1,…, c − 1 gα ℚx := gα (˜ xs , Y) ఏҊख๏ ΛύϥϝʔλԽ͢Δ
wࣜ Λਪఆ͢Δʹɼ ͜ͷ෦ۭؒΛ߹ܭ͢Δඞཁ͕͋Γେมɽ w͜ΕΛղܾ͢ΔͨΊʹɼ(VNCFMTPGUNBYUSJDLΛ༻͍Δɽ wΧςΰϦΧϧΛ࿈ଓʹͳΔΑ͏ʹ؇͢Δख๏ w(VNCFMTPGUNBYUSJDLΛͬͯɼॏΈ͚ͮΒΕͨ෦ۭؒͷαϯϓϦϯάͷۙࣅ Λߦͳ͍ͬͯ͘ɽ n
Ck ఏҊख๏ αϒηοταϯϓϦϯάͷ࿈ଓ؇ Gumbel-softmax trickͷࢀߟ: http://peluigi.hatenablog.com/entry/2018/06/23/192435
w ͜ͷಛ͔Β ͜ͷಛΛαϯϓϦϯά͢Δํ๏Λ࣍ʹࣔ͢ɽ ͜ͷಛϕΫτϧΛಠཱʹ ճαϯϓϦϯάΛߦ͏ɽ ͔Ϳͬͨಛআͯ͠ΓΛ͢ɽ w͜͏͢Δͱ͍͍ͤͥ
͚ͩಛ͕Δɽ͜ΕΒΛࣜʹ͢Δͱ࣍ͷΑ͏ʹͳΔɽ d k d k k ఏҊख๏ ಛΛL͚ͩநग़͢Δ
w࠷ऴతʹɼ࠷దԽ͢Δ͖తͷͷ࣍ͷͷͰ͋Δɽ w w ʹґଘ͠ͳ͍ͷͰ͋Δ͔Βɼ܇࿅࣌Ͱɼಉ࣌ʹޯ߱ԼΛద༻͢Δ ͜ͱ͕Ͱ͖Δɽ X,ζ θ,
α ఏҊख๏ ࠷ऴతͳతؔͱͦͷ࠷దԽ
wֶश͞Εͨઆ໌ϞσϧʹΑͬͯɼαϯϓϧ ͔ΒॏΈϕΫτϧ ࣍ݩͷ ʹϚο ϐϯά͞ΕΔɽ w͔͜͜ΒείΞ ͷେ͖͍ํΛબͯ͠ɼઆ໌༻ͷಛͱ͢Δɽ w֤αϯϓϧʹରͯ͠ɼઆ໌ϞσϧΛ௨͚ͩ͢ͰɼಛΛબ͢Δ͜ͱ͕Ͱ͖Δͷ ͰɼطଘݚڀΑΓޮΑ͘આ໌Ͱ͖ɼ͔ͭϞσϧʹґଘ͠ͳ͍Ͱ͓͜ͳ͑Δɽ
X d wθ (X) pθ (X) ఏҊख๏ આ໌εςʔδ
wਓσʔλͱ࣮ࡍͷσʔλͷೋͭͰ࣮ݧΛߦ͏ɽ wਓσʔλͰɼ࣍ݩΨε͔Βੜͯ͠ɼ͔ͦ͜ΒछྨͷσʔληοτΛ࡞ɽ w ࣮ݧ σʔληοτ
wຊݚڀͷख๏ -9 ͱطଘख๏ %FFQ-*'5 4)"1 -*.&ʜ Λൺֱ͢Δɽ ࣮ݧ ࣮ݧ݁Ռ
wઆ໌࣌ͷ࣮ߦ࣌ؒͷ݁ՌΛҎԼʹࣔ͢ɽ ࣮ݧ ࣮ݧ݁Ռ
࣮ݧ݁Ռ ςΩετσʔλͰͷϋΠϥΠτ өըϨϏϡʔͷσʔληοτ
wөըϨϏϡʔͷจʹରͯ͠ɼΫϥυϫʔΧʹݸͷײʹ߆ΔΩʔϫʔυΛબ ͯ͠Β͏ɽ wෳͷจষΛෳͷϫʔΧʹධՁͯ͠Β͍ɼͦͷฏۉΛ)VNBOBDDVSBDZͱ͢ Δɽ ࣮ݧ݁Ռ ΫϥυϫʔΧʹධՁͯ͠Β͏
w૬ޓใྔΛجʹͯ͠ɼΠϯελϯε͝ͱͷಛબΛ͢ΔϑϨʔϜϫʔΫΛఏ Ҋͨ͠ɽ w-9ʹΑΓɼ͡ΊͯϦΞϧλΠϜͰϒϥοΫϘοΫεͳϞσϧΛઆ໌͢Δ͜ͱ ͕Մೳʹͳͬͨɽ ݁